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Calibration of LiDAR device using infrared images

机译:使用红外图像校准LiDAR设备

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摘要

We present a new approach for the calibration of a LiDAR system to improve its accuracy in the acquisition of 3D data. The proposed method establishes laser-pixel correspondences between a LiDAR device and an infrared camera according to the captured laser trajectories in infrared images. The established correspondences are used to perform optimization calculations for the intrinsic and extrinsic parameters of the LiDAR system. Two error functions are combined by a linear weighting function in the optimization process, namely the reprojection error function and the flatness error function. Experimental results have been provided to demonstrate that the proposed approach is able to provide more suitable calibration parameters for the LiDAR system, thus reducing errors caused by the usage of unsuitable calibration parameters and improving the accuracy of the acquired range data.
机译:我们提出了一种用于校准LiDAR系统的新方法,以提高其3D数据采集的准确性。所提出的方法根据捕获的红外图像中的激光轨迹,在LiDAR设备和红外摄像机之间建立激光像素对应关系。建立的对应关系用于对LiDAR系统的内部和外部参数执行优化计算。在优化过程中,两个误差函数由线性加权函数合并,即重投影误差函数和平坦度误差函数。提供的实验结果表明,所提出的方法能够为LiDAR系统提供更合适的校准参数,从而减少了由于使用不合适的校准参数而导致的误差,并提高了所获取距离数据的准确性。

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